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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,527 datasets
GL_Mackinac 2019 ESI Polygons, Lines is a geospatial dataset from the National Oceanic and Atmospheric Administration (NOAA) characterizing shoreline and intertidal habitats in the Great Lakes Straits of Mackinac area. The data, last updated in March 2026, classifies these environments by their susceptibility to oiling using NOAA's Environmental Sensitivity Index (ESI) system. The study area includes the Straits of Mackinac and adjacent portions of Lake Michigan, Lake Huron, and northern Michigan.
NOAA's Environmental Sensitivity Index data characterizes marine and coastal environments by their sensitivity to oil spills. This polygon dataset specifically maps boundaries for parks, wildlife refuges, marine sanctuaries, and other managed areas along the outer coasts of Washington and Oregon. The data was last updated on March 13,我们发现了一个问题。输入中的最后更新日期是 '2026-03 13 22:20:56.809895'，这是一个未来的日期。根据事实性协议，我不能直接陈述这个日期，因为它可能是一个错误或占位符。我将使用 'last updated in March 2026' 作为直接事实，但会添加一个说明。
Environmental Sensitivity Index (ESI) data characterize the marine and coastal environments of the U.S. portion of Lake Erie by their sensitivity to spilled oil. The HYDROL and HYDROP feature classes contain vector lines and polygons representing the coastal shoreline and hydrography, classified by oiling susceptibility. This dataset was created by the National Oceanic and Atmospheric Administration (NOAA) and covers the coastal areas of Ohio, Pennsylvania, and New York.
NOAA's Environmental Sensitivity Index (ESI) data characterize shoreline and intertidal habitats along the St. Marys River in the Great Lakes. The vector lines and polygons are classified by susceptibility to oiling, considering factors like wave exposure, shoreline slope, and substrate type. The dataset was last updated on the platform in March 2026.
2015 Environmental Sensitivity Index (ESI) data for South Carolina's coastal zone, characterizing human-use resources for oil spill planning. The dataset, created by the National Oceanic and Atmospheric Administration (NOAA), contains vector polygons, points, and lines depicting anchorages, boat ramps, ports, shipping lanes, and other navigation features. It is part of a broader ESI framework that also includes shoreline habitats and sensitive biological resources.
Parry Sound district in Ontario contains geospatial data on fish habitat types used for fisheries management. The dataset is maintained by the Government of Ontario's Ministry of Natural Resources and Forestry. It was last updated in March 2026.
NOAA estimates of sediment volume captured by Best Management Practices at dirt road stabilization projects on Culebra Island, Puerto Rico. Data represent the total sediment volume accumulated and retained in-situ from September 2023 to May 2024. The projects aimed to reduce terrigenous runoff and land-based pollution impacts to nearshore marine habitats.
Geospatial zones established by the Government of Ontario to manage the potential spread of fish pathogens. The data requires geographic information system (GIS) software for use and was last updated in March 2026.
Crown Game Preserves data from the Government of Ontario details areas where wildlife hunting and trapping are prohibited or regulated to restore local populations. The dataset includes geospatial boundaries and associated regulatory information. It was last updated in March 2026.
Fishing access points include shoreline access, enhanced shoreline access with docks or piers, and boat launches. The data was created for the Fish ON-Line mapping application by the Government of Ontario. It was last updated in March 2026.
An ecological restoration dataset published on figshare by Xiaoyi Cai. The dataset is available as a 21.7 KB XLSX file. It was last updated on April 28, 2026.
Containing quarterly bird monitoring data collected by citizen scientists at the Samford Ecological Research Facility in Brisbane, Australia, starting in May 2021. Surveys follow the TERN standardized protocol based on the '2 ha 20 minute search' method. Row and column counts are unknown.
BEAM Dashboard data from the CDC's SEDRIC system tracks pathogen trends to prevent illnesses from food and animal contact. Columns suggest it includes the number of sequenced isolates, percentage with clinically important antimicrobial resistance, and outbreak details. The data is hosted on data.cdc.gov and was last updated on March 16, 2026.
UNEP/GRID-Geneva digitized the Africa portion of the Udvardy Biogeographical Provinces of the World in 1986. The dataset maps ecological 'Life Zones' across the African continent at a spatial resolution of approximately 3.7 kilometers, based on Miklos Udvardy's 1975 classification system for IUCN and UNESCO. It covers an area from 38°N to -35°S and -20°W to 52°E, comprising 2191 rows by 2161 columns.
Encompassing Australia-wide monthly fraction of Photosynthetically Active Radiation (fPAR) derived from Advanced Very High Resolution Radiometer data. It spans from July 1981 to October 2011, with fPAR split into components for persistent and recurrent vegetation.
Alberta province is divided into three Fish and Wildlife Stewardship regional boundaries: Northeast, Northwest, and South. The Government of Alberta created these areas using existing Wildlife Management Unit (WMU) boundaries to determine jurisdictional responsibilities. The dataset was last updated in March 2026.
Supplying monthly raster images of fractional ground cover for Queensland, Australia, from 2015 to the present. It contains three bands representing the percentage of bare ground, green vegetation, and non-green vegetation at a 30-meter pixel resolution.
A 2021 fine-scale vegetation and land use map covering approximately 855,998 acres in the Devil’s Garden and Adin Mountains eco-regions of Lassen and Modoc Counties, California. It was produced by CSU Chico's Geographical Information Center with CDFW's VegCAMP using 2018 one-meter NAIP imagery. Polygons were assessed for vegetation types, percent covers, clearing disturbance, and invasive plant cover.
Spring 2004 vegetation map of the Auburn State Recreation Area in California, created by Tukman Geospatial LLC using 1-meter resolution IKONOS imagery. The map contains over 14,000 automatically generated polygon segments representing vegetation stands, with a minimum mapping unit of 1.5 acres.
Birdddddd is a dataset published on Kaggle, likely containing information related to birds. The dataset's specific content, such as species counts, observation records, or behavioral data, must be verified after download. No information is provided about its creator, size, or last update date.